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5 footprints matching “CPU”

Land patterns on their own — 19,830 of them, most never referenced by a symbol in the catalog. Each passed the courtyard and pad checks; 7,626 come with the 3D model they name.

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FanPinHeader_1x04_P2.54mm_Vertical

FP3D

Connector

4-pin CPU fan Through hole pin header, e.g. for Wieson part number 2366C888-007 Molex 47053-1000, Foxconn HF27040-M1, Tyco 1470947-1 or equivalent, see http://www.formfactors.org/developer%5Cspecs%5Crev1_2_public.pdf

Pads
4
THT
11.1×7.0
Boards
93

FanPinHeader_1x03_P2.54mm_Vertical

FP3D

Connector

3-pin CPU fan Through hole pin header, see http://www.formfactors.org/developer%5Cspecs%5Crev1_2_public.pdf

Pads
3
THT
8.6×6.8
Boards
63

ESP32-S3-WROOM-1

FP—

espressif-Espressif

ESP32-S3-WROOM-1 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×26.6
Boards
—

ESP32-S3-WROOM-1U

FP—

espressif-Espressif

ESP32-S3-WROOM-1 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×20.5
Boards
—

ESP32-S3-WROOM-2

FP—

espressif-Espressif

ESP32-S3-WROOM-2 is a powerful, generic Wi-Fi + Bluetooth LE MCU modules that have Dual core CPU , a rich set of peripherals, provides acceleration for neural network computing and signal processing workloads. They are an ideal choice for a wide variety of application scenarios related to AI + Internet of Things (AIoT), such as wake word detection and speech commands recognition , face detection and recognition, smart home, smart appliance, smart control panel, smart speaker etc.

Pads
41
SMD
19.6×26.6
Boards
—